{"id":13779,"date":"2025-07-30T09:09:52","date_gmt":"2025-07-30T07:09:52","guid":{"rendered":"https:\/\/www.pharis.cz\/blog-en\/ai-fairytales-dont-end-happily-by-chance\/"},"modified":"2025-07-30T09:17:38","modified_gmt":"2025-07-30T07:17:38","slug":"ai-fairytales-dont-end-happily-by-chance","status":"publish","type":"post","link":"https:\/\/www.pharis.cz\/en\/blog-en\/ai-fairytales-dont-end-happily-by-chance\/","title":{"rendered":"AI fairytales don\u2019t end happily by chance"},"content":{"rendered":"\n

Most of us enjoy stories with happy endings. Usually, something is \u201cwrong\u201d at the beginning, and by the end\u2014like magic\u2014there\u2019s a happy ending. <\/p>\n\n

This is something we often experience with new implementations of MES PHARIS. Otherwise, we wouldn’t be so confident in claiming how we can increase production efficiency, quality, and more. Every such happy ending brings us joy and gives us strength for more success stories with our customers. And it raises the question\u2014can we even call such a happy-ending reality a fairytale? <\/p>\n\n

But then there are AI fairytales. They can have happy endings too, no doubt. But the beginning can\u2019t be just \u201csomething\u2019s wrong\u201d and nothing more. There needs to be a sufficient amount of truly high-quality data at the start. <\/p>\n\n

With our APS PHARIS (APS = Advanced Planning & Scheduling), we can use high-quality data to generate very efficient production schedules with our algorithms. These can then be analyzed by AI tools based on previous production plans, used to detect anomalies, and so on. But one thing remains true: we can\u2019t create a good schedule from bad data. <\/p>\n\n

Sure, AI can help improve data quality to a certain extent\u2014that’s true. But the key point lies elsewhere: first, we need a massive amount of hard data, and only then can we think about what AI can do with it. Otherwise, it\u2019s not a fairytale\u2014it\u2019s a utopia. <\/p>\n\n

Back to fairytales. From my perspective, MES must come first (as the source of quality data), and then AI can follow. <\/p>\n\n

Or do you know a better way to use AI in production management than feeding it data from MES?<\/p>\n\n

Tom\u00e1\u0161 Hradsk\u00fdCEOPHARIS, s.r.o.<\/p>\n","protected":false},"excerpt":{"rendered":"

Most of us enjoy stories with happy endings. Usually, something is \u201cwrong\u201d at the beginning, and by the end\u2014like magic\u2014there\u2019s a happy ending. This is something we often experience with new implementations of MES PHARIS. Otherwise, we wouldn’t be so confident in claiming how we can increase production efficiency, quality, and more. Every such happy […]<\/p>\n","protected":false},"author":10,"featured_media":13776,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[78],"tags":[],"class_list":["post-13779","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog-en"],"yoast_head":"\nAI fairytales don\u2019t end happily by chance - MES PHARIS<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.pharis.cz\/en\/blog-en\/ai-fairytales-dont-end-happily-by-chance\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI fairytales don\u2019t end happily by chance - MES PHARIS\" \/>\n<meta property=\"og:description\" content=\"Most of us enjoy stories with happy endings. Usually, something is \u201cwrong\u201d at the beginning, and by the end\u2014like magic\u2014there\u2019s a happy ending. This is something we often experience with new implementations of MES PHARIS. Otherwise, we wouldn’t be so confident in claiming how we can increase production efficiency, quality, and more. 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